Tracking the flu pandemic by monitoring the social web. - Vasileios Lampos; Nello Cristianini (CIP, 2010)

Flu Detector - Tracking Epidemics on Twitter. - Vasileios Lampos; Tijl De Bie; Nello Cristianini (ECML/PKDD (3), 2010)

Effects of the recession on public mood in the UK. - Thomas Lansdall-Welfare; Vasileios Lampos; Nello Cristianini (WWW (Companion Volume), 2012)

On voting intentions inference from Twitter content: a case study on UK 2010 General Election - Vasileios Lampos (CoRR, 2012)

Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods - Vasileios Lampos (CoRR, 2012)

Nowcasting Events from the Social Web with Statistical Learning. - Vasileios Lampos; Nello Cristianini (ACM Trans. Intell. Syst. Technol., 2012)

A user-centric model of voting intention from Social Media. - Vasileios Lampos; Daniel Preotiuc-Pietro; Trevor Cohn (ACL (1), 2013)

Robustness of emotion extraction from 20th century English books. - Alberto Acerbi; Vasileios Lampos; R. Alexander Bentley (IEEE BigData, 2013)

Analysing Mood Patterns in the United Kingdom through Twitter Content - Vasileios Lampos; Thomas Lansdall-Welfare; Ricardo Araya; Nello Cristianini (CoRR, 2013)

Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. - Vasileios Lampos; Daniel Preotiuc-Pietro; Sina Samangooei; Douwe Gelling; Trevor Cohn (LTCSS@ACL, 2014)

Predicting and Characterising User Impact on Twitter. - Vasileios Lampos; Nikolaos Aletras; Daniel Preotiuc-Pietro; Trevor Cohn (EACL, 2014)

An analysis of the user occupational class through Twitter content. - Daniel Preotiuc-Pietro; Vasileios Lampos; Nikolaos Aletras (ACL (1), 2015)

Learning About Health and Medicine from Internet Data. - Elad Yom-Tov; Ingemar Johansson Cox; Vasileios Lampos (WSDM, 2015)

Assessing the impact of a health intervention via user-generated Internet content. - Vasileios Lampos; Elad Yom-Tov; Richard Pebody; Ingemar J. Cox (Data Min. Knowl. Discov., 2015)

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. - Vasileios Lampos; Nikolaos Aletras; Jens K. Geyti; Bin Zou 006; Ingemar J. Cox (ECIR, 2016)

On Infectious Intestinal Disease Surveillance using Social Media Content. - Bin Zou 006; Vasileios Lampos; Russell Gorton; Ingemar J. Cox (Digital Health, 2016)

Flu Detector: Estimating influenza-like illness rates from online user-generated content. - Vasileios Lampos (CoRR, 2016)

Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. - Nikolaos Aletras; Dimitrios Tsarapatsanis; Daniel Preotiuc-Pietro; Vasileios Lampos (PeerJ Comput. Sci., 2016)

WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. - Nigel Collier; Nut Limsopatham; Aron Culotta; Mike Conway; Ingemar J. Cox; Vasileios Lampos (WSDM, 2017)

Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance. - Vasileios Lampos; Bin Zou 006; Ingemar Johansson Cox (WWW, 2017)

A Concept Language Model for Ad-hoc Retrieval. - Bin Zou 006; Vasileios Lampos; Shangsong Liang; Zhaochun Ren; Emine Yilmaz; Ingemar J. Cox (WWW (Companion Volume), 2017)

Assessing public health interventions using Web content. - Vasileios Lampos (CoRR, 2017)

Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms. - Lucie Flekova; Vasileios Lampos; Ingemar J. Cox (SMM4H@EMNLP, 2018)

Multi-Task Learning Improves Disease Models from Web Search. - Bin Zou 006; Vasileios Lampos; Ingemar J. Cox (WWW, 2018)

Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor. - Vincent Primault; Vasileios Lampos; Ingemar J. Cox; Emiliano De Cristofaro (WWW, 2019)

Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data. - Bin Zou 006; Vasileios Lampos; Ingemar J. Cox (WWW, 2019)

Tracking COVID-19 using online search. - Vasileios Lampos; Simon Moura; Elad Yom-Tov; Michael Edelstein; Maimuna S. Majumder; Rachel A. McKendry; Ingemar J. Cox (CoRR, 2020)

Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries. - Elad Yom-Tov; Vasileios Lampos; Ingemar J. Cox; Michael Edelstein (CoRR, 2020)

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. - Michael Morris; Peter Hayes; Ingemar J. Cox; Vasileios Lampos (CoRR, 2021)

Tracking COVID-19 using online search. - Vasileios Lampos; Maimuna S. Majumder; Elad Yom-Tov; Michael Edelstein; Simon Moura; Yohhei Hamada; Molebogeng X. Rangaka; Rachel A. McKendry; Ingemar J. Cox (npj Digit. Medicine, 2021)

E-NER - An Annotated Named Entity Recognition Corpus of Legal Text. - Ting Wai Terence Au; Vasileios Lampos; Ingemar J. Cox (NLLP@EMNLP, 2022)

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. - Michael Morris; Peter Hayes; Ingemar J. Cox; Vasileios Lampos (PLoS Comput. Biol., 2023)

Unsupervised hard Negative Augmentation for contrastive learning. - Yuxuan Shu; Vasileios Lampos (CoRR, 2024)

Estimating the household secondary attack rate and serial interval of COVID-19 using social media. - Aarzoo Dhiman; Elad Yom-Tov; Lorenzo Pellis; Michael Edelstein; Richard Pebody; Andrew Hayward; Thomas A. House; Thomas Finnie; David Guzman; Vasileios Lampos; Rob Aldridge; Sarah Beale; et al. (npj Digit. Medicine, 2024)

DeformTime: capturing variable dependencies with deformable attention for time series forecasting. - Yuxuan Shu; Vasileios Lampos (Trans. Mach. Learn. Res., 2025)

Machine-generated text detection prevents language model collapse. - George Drayson; Vasileios Lampos (CoRR, 2025)

Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting. - Yuxuan Shu; Vasileios Lampos (CoRR, 2025)

Prediction of Reposting on X. - Ziming Xu; Shi Zhou; Vasileios Lampos; Ingemar J. Cox (CoRR, 2025)